Dimensionality reduction through sensory-motor coordination

Authors:
Rene te Boekhorst;Max Lungarella;Rolf Pfeifer
Affiliations:
University of Hertfordshire, UK;Neuroscience Research Institute, Tsukuba AIST Central 2, Japan;Artificial Intelligence Laboratory, University of Zurich, Switzerland
Venue:
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Year:
2003

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Abstract

The problem of category learning has been traditionally investigated by employing disembodied categorization models. One of the basic tenets of embodied cognitive science states that categorization can be interpreted as a process of sensory-motor coordination, in which an embodied agent, while interacting with its environment, can structure its own input space for the purpose of learning about categories. Many researchers, including John Dewey and Jean Piaget, have argued that sensory-motor coordination is crucial for perception and for development. In this paper we give a quantitative account of why sensory-motor coordination is important for perception and category learning.